Profiling Report

Dataset statistics

Number of variables	13
Number of observations	174
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	17.8 KiB
Average record size in memory	104.7 B

Variable types

Numeric	9
Text	3
Categorical	1

Alerts

`place` is highly overall correlated with `swim_time` and 5 other fields	High correlation
`swim_time` is highly overall correlated with `place` and 4 other fields	High correlation
`t1_time` is highly overall correlated with `place` and 5 other fields	High correlation
`bike_time` is highly overall correlated with `place` and 5 other fields	High correlation
`t2_time` is highly overall correlated with `place` and 4 other fields	High correlation
`run_time` is highly overall correlated with `place` and 5 other fields	High correlation
`chip_time` is highly overall correlated with `place` and 5 other fields	High correlation
`place` is uniformly distributed	Uniform
`place` has unique values	Unique
`bib` has unique values	Unique

Reproduction

Analysis started	2023-08-19 22:34:18.505866
Analysis finished	2023-08-19 22:34:29.289476
Duration	10.78 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

place
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	174
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.5

Minimum	1
Maximum	174
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1
5-th percentile	9.65
Q1	44.25
median	87.5
Q3	130.75
95-th percentile	165.35
Maximum	174
Range	173
Interquartile range (IQR)	86.5

Descriptive statistics

Standard deviation	50.373604
Coefficient of variation (CV)	0.57569833
Kurtosis	-1.2
Mean	87.5
Median Absolute Deviation (MAD)	43.5
Skewness	0
Sum	15225
Variance	2537.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.6%
120	1	0.6%
112	1	0.6%
113	1	0.6%
114	1	0.6%
115	1	0.6%
116	1	0.6%
117	1	0.6%
118	1	0.6%
119	1	0.6%
Other values (164)	164	94.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.6%
2	1	0.6%
3	1	0.6%
4	1	0.6%
5	1	0.6%
6	1	0.6%
7	1	0.6%
8	1	0.6%
9	1	0.6%
10	1	0.6%

Value	Count	Frequency (%)
174	1	0.6%
173	1	0.6%
172	1	0.6%
171	1	0.6%
170	1	0.6%
169	1	0.6%
168	1	0.6%
167	1	0.6%
166	1	0.6%
165	1	0.6%

bib
Real number (ℝ)

UNIQUE

Distinct	174
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	227.94253

Minimum	120
Maximum	328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	120
5-th percentile	131.65
Q1	176.25
median	232.5
Q3	279.75
95-th percentile	318.7
Maximum	328
Range	208
Interquartile range (IQR)	103.5

Descriptive statistics

Standard deviation	60.52494
Coefficient of variation (CV)	0.26552719
Kurtosis	-1.1944077
Mean	227.94253
Median Absolute Deviation (MAD)	52
Skewness	-0.092737574
Sum	39662
Variance	3663.2684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
279	1	0.6%
152	1	0.6%
307	1	0.6%
139	1	0.6%
166	1	0.6%
328	1	0.6%
209	1	0.6%
197	1	0.6%
290	1	0.6%
188	1	0.6%
Other values (164)	164	94.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
120	1	0.6%
122	1	0.6%
123	1	0.6%
124	1	0.6%
126	1	0.6%
127	1	0.6%
129	1	0.6%
130	1	0.6%
131	1	0.6%
132	1	0.6%

Value	Count	Frequency (%)
328	1	0.6%
327	1	0.6%
326	1	0.6%
325	1	0.6%
324	1	0.6%
323	1	0.6%
322	1	0.6%
321	1	0.6%
320	1	0.6%
318	1	0.6%

first_name
Text

Distinct	144
Distinct (%)	82.8%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

Length

Max length	9
Median length	8
Mean length	5.1436782
Min length	2

Characters and Unicode

Total characters	895
Distinct characters	48
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	121 ?
Unique (%)	69.5%

Sample

1st row	Porter
2nd row	Dwayne
3rd row	Nathan
4th row	Ben
5th row	Dylan

Value	Count	Frequency (%)
zachary	3	1.7%
ryan	3	1.7%
adam	3	1.7%
david	3	1.7%
mark	3	1.7%
alex	3	1.7%
doug	3	1.7%
mike	3	1.7%
thomas	2	1.1%
scott	2	1.1%
Other values (133)	147	84.0%

Most occurring characters

Value	Count	Frequency (%)
a	114	12.7%
e	76	8.5%
i	62	6.9%
r	62	6.9%
n	61	6.8%
o	45	5.0%
l	41	4.6%
t	40	4.5%
h	37	4.1%
y	27	3.0%
Other values (38)	330	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	707	79.0%
Uppercase Letter	184	20.6%
Other Punctuation	3	0.3%
Space Separator	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	114	16.1%
e	76	10.7%
i	62	8.8%
r	62	8.8%
n	61	8.6%
o	45	6.4%
l	41	5.8%
t	40	5.7%
h	37	5.2%
y	27	3.8%
Other values (13)	142	20.1%

Uppercase Letter

Value	Count	Frequency (%)
J	17	9.2%
M	17	9.2%
K	16	8.7%
D	15	8.2%
S	14	7.6%
A	14	7.6%
R	14	7.6%
T	13	7.1%
C	12	6.5%
L	7	3.8%
Other values (13)	45	24.5%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	891	99.6%
Common	4	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	114	12.8%
e	76	8.5%
i	62	7.0%
r	62	7.0%
n	61	6.8%
o	45	5.1%
l	41	4.6%
t	40	4.5%
h	37	4.2%
y	27	3.0%
Other values (36)	326	36.6%

Common

Value	Count	Frequency (%)
.	3	75.0%
	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	895	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	114	12.7%
e	76	8.5%
i	62	6.9%
r	62	6.9%
n	61	6.8%
o	45	5.0%
l	41	4.6%
t	40	4.5%
h	37	4.1%
y	27	3.0%
Other values (38)	330	36.9%

last_name
Text

Distinct	162
Distinct (%)	93.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

Length

Max length	18
Median length	15
Mean length	6.7528736
Min length	3

Characters and Unicode

Total characters	1175
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	151 ?
Unique (%)	86.8%

Sample

1st row	Middaugh
2nd row	Dixon
3rd row	Dutton
4th row	Hogan
5th row	Friday

Value	Count	Frequency (%)
lee	3	1.7%
gerber	2	1.1%
schuth	2	1.1%
allred	2	1.1%
geddes	2	1.1%
adams	2	1.1%
peterson	2	1.1%
cooper	2	1.1%
pritchardthorpe	2	1.1%
hogan	2	1.1%
Other values (157)	159	88.3%

Most occurring characters

Value	Count	Frequency (%)
e	125	10.6%
n	100	8.5%
a	98	8.3%
r	94	8.0%
o	86	7.3%
i	60	5.1%
l	58	4.9%
s	49	4.2%
t	47	4.0%
d	36	3.1%
Other values (43)	422	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	957	81.4%
Uppercase Letter	205	17.4%
Space Separator	6	0.5%
Other Punctuation	5	0.4%
Dash Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	125	13.1%
n	100	10.4%
a	98	10.2%
r	94	9.8%
o	86	9.0%
i	60	6.3%
l	58	6.1%
s	49	5.1%
t	47	4.9%
d	36	3.8%
Other values (14)	204	21.3%

Uppercase Letter

Value	Count	Frequency (%)
M	21	10.2%
S	21	10.2%
G	13	6.3%
P	13	6.3%
B	13	6.3%
C	12	5.9%
A	12	5.9%
D	11	5.4%
R	10	4.9%
O	10	4.9%
Other values (14)	69	33.7%

Other Punctuation

Value	Count	Frequency (%)
.	3	60.0%
,	1	20.0%
'	1	20.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1162	98.9%
Common	13	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	125	10.8%
n	100	8.6%
a	98	8.4%
r	94	8.1%
o	86	7.4%
i	60	5.2%
l	58	5.0%
s	49	4.2%
t	47	4.0%
d	36	3.1%
Other values (38)	409	35.2%

Common

Value	Count	Frequency (%)
	6	46.2%
.	3	23.1%
-	2	15.4%
,	1	7.7%
'	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	125	10.6%
n	100	8.5%
a	98	8.3%
r	94	8.0%
o	86	7.3%
i	60	5.1%
l	58	4.9%
s	49	4.2%
t	47	4.0%
d	36	3.1%
Other values (43)	422	35.9%

gender
Categorical

Distinct	2
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

M	123
F	51

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	174
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	123	70.7%
F	51	29.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	123	70.7%
f	51	29.3%

Most occurring characters

Value	Count	Frequency (%)
M	123	70.7%
F	51	29.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	174	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	123	70.7%
F	51	29.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	174	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	123	70.7%
F	51	29.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	123	70.7%
F	51	29.3%

age
Real number (ℝ)

Distinct	52
Distinct (%)	29.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.045977

Minimum	16
Maximum	73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	16
5-th percentile	21
Q1	32
median	40
Q3	51.75
95-th percentile	64.35
Maximum	73
Range	57
Interquartile range (IQR)	19.75

Descriptive statistics

Standard deviation	12.935061
Coefficient of variation (CV)	0.30764086
Kurtosis	-0.57181614
Mean	42.045977
Median Absolute Deviation (MAD)	10
Skewness	0.18756451
Sum	7316
Variance	167.31579
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	11	6.3%
39	8	4.6%
31	7	4.0%
50	7	4.0%
60	7	4.0%
38	6	3.4%
37	6	3.4%
47	5	2.9%
44	5	2.9%
36	5	2.9%
Other values (42)	107	61.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	2	1.1%
17	1	0.6%
19	1	0.6%
20	3	1.7%
21	4	2.3%
22	1	0.6%
23	2	1.1%
25	4	2.3%
26	2	1.1%
27	3	1.7%

Value	Count	Frequency (%)
73	1	0.6%
72	1	0.6%
71	1	0.6%
70	1	0.6%
68	1	0.6%
66	2	1.1%
65	2	1.1%
64	1	0.6%
62	1	0.6%
61	2	1.1%

city
Text

Distinct	123
Distinct (%)	70.7%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

Length

Max length	17
Median length	14
Mean length	8.4425287
Min length	4

Characters and Unicode

Total characters	1469
Distinct characters	50
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	57.5%

Sample

1st row	Vail
2nd row	RALEIGH
3rd row	Highland
4th row	Louisville
5th row	Edwards

Value	Count	Frequency (%)
edwards	10	4.6%
spgs	10	4.6%
colorado	9	4.1%
boulder	9	4.1%
denver	9	4.1%
golden	6	2.7%
vail	6	2.7%
louisville	5	2.3%
durango	5	2.3%
avon	5	2.3%
Other values (117)	145	66.2%

Most occurring characters

Value	Count	Frequency (%)
e	95	6.5%
a	87	5.9%
o	79	5.4%
n	74	5.0%
l	65	4.4%
L	62	4.2%
r	58	3.9%
A	55	3.7%
E	55	3.7%
O	52	3.5%
Other values (40)	787	53.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	810	55.1%
Uppercase Letter	614	41.8%
Space Separator	45	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	95	11.7%
a	87	10.7%
o	79	9.8%
n	74	9.1%
l	65	8.0%
r	58	7.2%
d	51	6.3%
s	46	5.7%
i	46	5.7%
t	45	5.6%
Other values (16)	164	20.2%

Uppercase Letter

Value	Count	Frequency (%)
L	62	10.1%
A	55	9.0%
E	55	9.0%
O	52	8.5%
S	50	8.1%
D	47	7.7%
R	46	7.5%
C	31	5.0%
G	31	5.0%
N	27	4.4%
Other values (13)	158	25.7%

Space Separator

Value	Count	Frequency (%)
	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1424	96.9%
Common	45	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	95	6.7%
a	87	6.1%
o	79	5.5%
n	74	5.2%
l	65	4.6%
L	62	4.4%
r	58	4.1%
A	55	3.9%
E	55	3.9%
O	52	3.7%
Other values (39)	742	52.1%

Common

Value	Count	Frequency (%)
	45	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1469	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	95	6.5%
a	87	5.9%
o	79	5.4%
n	74	5.0%
l	65	4.4%
L	62	4.2%
r	58	3.9%
A	55	3.7%
E	55	3.7%
O	52	3.5%
Other values (40)	787	53.6%

swim_time
Real number (ℝ)

HIGH CORRELATION

Distinct	156
Distinct (%)	89.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1639.6667

Minimum	1041
Maximum	3288
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1041
5-th percentile	1212.65
Q1	1421.5
median	1557
Q3	1773
95-th percentile	2246.1
Maximum	3288
Range	2247
Interquartile range (IQR)	351.5

Descriptive statistics

Standard deviation	357.8849
Coefficient of variation (CV)	0.21826686
Kurtosis	3.8058492
Mean	1639.6667
Median Absolute Deviation (MAD)	172.5
Skewness	1.5876971
Sum	285302
Variance	128081.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1464	4	2.3%
1760	2	1.1%
1421	2	1.1%
1583	2	1.1%
1525	2	1.1%
1429	2	1.1%
1548	2	1.1%
1905	2	1.1%
1439	2	1.1%
1647	2	1.1%
Other values (146)	152	87.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1041	1	0.6%
1112	1	0.6%
1119	1	0.6%
1150	1	0.6%
1154	1	0.6%
1171	1	0.6%
1174	1	0.6%
1185	1	0.6%
1212	1	0.6%
1213	1	0.6%

Value	Count	Frequency (%)
3288	1	0.6%
2952	1	0.6%
2825	1	0.6%
2711	1	0.6%
2687	1	0.6%
2666	1	0.6%
2459	1	0.6%
2439	1	0.6%
2302	1	0.6%
2216	1	0.6%

t1_time
Real number (ℝ)

HIGH CORRELATION

Distinct	127
Distinct (%)	73.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	264.63793

Minimum	121
Maximum	600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	121
5-th percentile	159.65
Q1	210.25
median	247.5
Q3	303.5
95-th percentile	410.3
Maximum	600
Range	479
Interquartile range (IQR)	93.25

Descriptive statistics

Standard deviation	83.633808
Coefficient of variation (CV)	0.31603107
Kurtosis	2.2522342
Mean	264.63793
Median Absolute Deviation (MAD)	45
Skewness	1.2596125
Sum	46047
Variance	6994.6138
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
215	4	2.3%
264	3	1.7%
271	3	1.7%
226	3	1.7%
242	3	1.7%
260	3	1.7%
321	3	1.7%
279	3	1.7%
192	3	1.7%
240	3	1.7%
Other values (117)	143	82.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
121	1	0.6%
124	1	0.6%
141	1	0.6%
149	1	0.6%
151	1	0.6%
152	1	0.6%
153	1	0.6%
159	2	1.1%
160	1	0.6%
166	1	0.6%

Value	Count	Frequency (%)
600	1	0.6%
584	1	0.6%
524	1	0.6%
496	1	0.6%
485	1	0.6%
460	1	0.6%
440	1	0.6%
426	1	0.6%
422	1	0.6%
404	1	0.6%

bike_time
Real number (ℝ)

HIGH CORRELATION

Distinct	170
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7179.069

Minimum	5002
Maximum	10903
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	5002
5-th percentile	5555.5
Q1	6426.5
median	6973.5
Q3	7828.5
95-th percentile	9471.2
Maximum	10903
Range	5901
Interquartile range (IQR)	1402

Descriptive statistics

Standard deviation	1194.009
Coefficient of variation (CV)	0.16631808
Kurtosis	0.65306025
Mean	7179.069
Median Absolute Deviation (MAD)	723
Skewness	0.81665013
Sum	1249158
Variance	1425657.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6594	2	1.1%
6498	2	1.1%
8117	2	1.1%
7634	2	1.1%
8009	1	0.6%
7380	1	0.6%
7439	1	0.6%
7811	1	0.6%
7361	1	0.6%
7595	1	0.6%
Other values (160)	160	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5002	1	0.6%
5160	1	0.6%
5222	1	0.6%
5281	1	0.6%
5348	1	0.6%
5400	1	0.6%
5414	1	0.6%
5491	1	0.6%
5549	1	0.6%
5559	1	0.6%

Value	Count	Frequency (%)
10903	1	0.6%
10833	1	0.6%
10529	1	0.6%
10465	1	0.6%
10200	1	0.6%
10052	1	0.6%
9920	1	0.6%
9665	1	0.6%
9544	1	0.6%
9432	1	0.6%

t2_time
Real number (ℝ)

HIGH CORRELATION

Distinct	114
Distinct (%)	65.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	118.27011

Minimum	37
Maximum	398
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	37
5-th percentile	47
Q1	77
median	101.5
Q3	139.5
95-th percentile	248
Maximum	398
Range	361
Interquartile range (IQR)	62.5

Descriptive statistics

Standard deviation	65.91518
Coefficient of variation (CV)	0.55732744
Kurtosis	4.0919952
Mean	118.27011
Median Absolute Deviation (MAD)	32
Skewness	1.8263337
Sum	20579
Variance	4344.811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86	5	2.9%
61	4	2.3%
85	4	2.3%
84	4	2.3%
114	3	1.7%
109	3	1.7%
68	3	1.7%
55	3	1.7%
94	3	1.7%
103	3	1.7%
Other values (104)	139	79.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37	1	0.6%
38	1	0.6%
39	1	0.6%
42	1	0.6%
43	1	0.6%
45	1	0.6%
46	2	1.1%
47	2	1.1%
48	2	1.1%
49	1	0.6%

Value	Count	Frequency (%)
398	1	0.6%
363	2	1.1%
330	1	0.6%
329	1	0.6%
313	1	0.6%
295	1	0.6%
269	1	0.6%
248	2	1.1%
241	1	0.6%
236	1	0.6%

run_time
Real number (ℝ)

HIGH CORRELATION

Distinct	170
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4074.2471

Minimum	2598
Maximum	6409
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	2598
5-th percentile	2953.85
Q1	3504
median	3927
Q3	4483.25
95-th percentile	5638.85
Maximum	6409
Range	3811
Interquartile range (IQR)	979.25

Descriptive statistics

Standard deviation	805.26223
Coefficient of variation (CV)	0.19764688
Kurtosis	0.18707796
Mean	4074.2471
Median Absolute Deviation (MAD)	482.5
Skewness	0.76974109
Sum	708919
Variance	648447.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3434	2	1.1%
3619	2	1.1%
4471	2	1.1%
3502	2	1.1%
2598	1	0.6%
4486	1	0.6%
3963	1	0.6%
3989	1	0.6%
3932	1	0.6%
4219	1	0.6%
Other values (160)	160	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2598	1	0.6%
2669	1	0.6%
2798	1	0.6%
2866	1	0.6%
2878	1	0.6%
2916	1	0.6%
2919	1	0.6%
2942	1	0.6%
2948	1	0.6%
2957	1	0.6%

Value	Count	Frequency (%)
6409	1	0.6%
6221	1	0.6%
6152	1	0.6%
6119	1	0.6%
6114	1	0.6%
5878	1	0.6%
5847	1	0.6%
5820	1	0.6%
5776	1	0.6%
5565	1	0.6%

chip_time
Real number (ℝ)

HIGH CORRELATION

Distinct	170
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13275.351

Minimum	9307
Maximum	19853
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	9307
5-th percentile	10059.05
Q1	11746.5
median	12791
Q3	14733.25
95-th percentile	17420.3
Maximum	19853
Range	10546
Interquartile range (IQR)	2986.75

Descriptive statistics

Standard deviation	2232.172
Coefficient of variation (CV)	0.16814411
Kurtosis	0.3381533
Mean	13275.351
Median Absolute Deviation (MAD)	1434
Skewness	0.74549315
Sum	2309911
Variance	4982591.9
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14780	2	1.1%
11698	2	1.1%
14850	2	1.1%
13028	2	1.1%
14197	1	0.6%
13896	1	0.6%
13917	1	0.6%
13968	1	0.6%
13987	1	0.6%
14029	1	0.6%
Other values (160)	160	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9307	1	0.6%
9402	1	0.6%
9459	1	0.6%
9726	1	0.6%
9906	1	0.6%
9989	1	0.6%
10001	1	0.6%
10017	1	0.6%
10035	1	0.6%
10072	1	0.6%

Value	Count	Frequency (%)
19853	1	0.6%
19453	1	0.6%
19430	1	0.6%
19152	1	0.6%
19126	1	0.6%
18667	1	0.6%
18427	1	0.6%
17889	1	0.6%
17562	1	0.6%
17344	1	0.6%

Auto

Heatmap
Table

	place	bib	age	swim_time	t1_time	bike_time	t2_time	run_time	chip_time	gender
place	1.000	-0.150	0.214	0.677	0.743	0.949	0.747	0.929	1.000	0.224
bib	-0.150	1.000	-0.079	0.009	-0.069	-0.171	-0.162	-0.165	-0.150	0.070
age	0.214	-0.079	1.000	0.226	0.164	0.142	0.152	0.255	0.214	0.045
swim_time	0.677	0.009	0.226	1.000	0.596	0.528	0.437	0.589	0.677	0.137
t1_time	0.743	-0.069	0.164	0.596	1.000	0.676	0.709	0.655	0.743	0.070
bike_time	0.949	-0.171	0.142	0.528	0.676	1.000	0.687	0.812	0.949	0.263
t2_time	0.747	-0.162	0.152	0.437	0.709	0.687	1.000	0.706	0.747	0.113
run_time	0.929	-0.165	0.255	0.589	0.655	0.812	0.706	1.000	0.929	0.092
chip_time	1.000	-0.150	0.214	0.677	0.743	0.949	0.747	0.929	1.000	0.197
gender	0.224	0.070	0.045	0.137	0.070	0.263	0.113	0.092	0.197	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	place	bib	first_name	last_name	gender	age	city	swim_time	t1_time	bike_time	t2_time	run_time	chip_time
0	1	279	Porter	Middaugh	M	17	Vail	1327	121	5222	39	2598	9307
1	2	298	Dwayne	Dixon	M	37	RALEIGH	1174	149	5160	54	2866	9402
2	3	267	Nathan	Dutton	M	16	Highland	1041	159	5002	86	3171	9459
3	4	313	Ben	Hogan	M	25	Louisville	1287	160	5414	68	2798	9726
4	5	145	Dylan	Friday	M	29	Edwards	1307	152	5742	37	2669	9906
5	6	303	Scott	McCalmon	M	43	BOULDER	1417	258	5281	76	2957	9989
6	7	318	Hosea	Shepherd	M	38	Sonora	1303	172	5559	52	2916	10001
7	8	288	Thomas	Spannring	M	46	Longmont	1526	153	5348	43	2948	10017
8	9	264	Michael	Dorr	M	47	AVON	1402	171	5400	57	3004	10035
9	10	242	Drew	Kroeker	M	21	BOULDER	1112	151	5754	46	3010	10072

	place	bib	first_name	last_name	gender	age	city	swim_time	t1_time	bike_time	t2_time	run_time	chip_time
164	165	289	Kim	Wagner	F	60	TEMPE	2825	399	8615	236	5270	17344
165	166	282	DAVE	SUTTON	M	57	Louisville	2061	396	9544	176	5386	17562
166	167	248	Matt	Radloff	M	30	Jacksonville	1523	584	10200	248	5334	17889
167	168	246	Jo	Garuccio	F	71	Sandy	1749	383	9920	154	6221	18427
168	169	154	Stormie	Wells	F	48	Colorado Spgs	2113	404	10465	145	5541	18667
169	170	224	Sheri	Schrock	F	68	Cohasset	2459	354	10052	110	6152	19126
170	171	240	John	Stacy	M	50	Catlettsburg	3288	524	9665	156	5519	19152
171	172	234	Carlos	Castro	M	27	Avon	2687	426	10833	143	5341	19430
172	173	287	Chad	Carpenter	M	39	AVON	2666	496	10529	398	5365	19453
173	174	149	Melissa	Briggs	F	45	DURANGO	1832	440	10903	269	6409	19853

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample